Looking at the spatial and temporal distributions of airborne infection risk in an aircraft cabin, the researchers used a case of an influenza outbreak in a 4-h flight in a fully occupied, wide- body aircraft cabin e.g., Boeing 747, 767, or 777 cabin. Considering the characteristics of exhaled droplets carrying infectious agents and their dispersion, as well as the inhalation of the droplets by susceptible passengers, they determined through modeling the number of secondary infection cases can be dramatically reduced for influenza cases if N95 respirator masks are used by the passengers. They claim their approach and methods can easily be used to assess infection risk in other enclosed spaces such as buildings, trains, and buses.